exaone-3.5-2.4b-instruct-mlx
LM-STUDIO MLXexaone · 2.4B · 8bit
Mar 4, 2026 · Apple M4
phi3:14b
OLLAMA GGUFphi3 · 14.0B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
75 vs 63
Hardware Fit
100 vs 83
Quality Score
64 vs 55
Hardware
exaone-3.5-2.4b-in… phi3:14b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
exaone-3.5-2.4b-in… phi3:14b
Tokens/sec37.012.7
First chunk288 msN/A
TTFT288 ms434 ms
Load timeN/A0.9 s
Memory usage2.4 GB17.7 GB
Memory %8%55%
HW Fit Score Breakdown
exaone-3.5-2.4b-instruc…
Speed
50/50
TTFT
20/20
Memory
30/30
phi3:14b
Speed
23/50
TTFT
30/20
Memory
30/30
Quality
exaone-3.5-2.4b-instruc…
Reasoning
9/20
Coding
13/20
Instruction
15/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
phi3:14b
Reasoning
14/20
Coding
2/20
Instruction
14/20
Structured
7/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest